The current human efforts to grapples with the pressing challenges of human and climate change impacts on biodiversity loss hotspots have not yield the expected outcome, thereby creating an urgent need for a more sustainable and innovative approach to mitigate the threats from local to global level. This paper explores the various applications of Artificial Intelligence (AI) in monitoring endangered animal species and forest degradation within the Oban Division of the Cross River National Park with a view to boosting sustainable species conservation and averting biodiversity hotspot loss. It evaluates the key potentials and real benefits of AI-driven technologies in optimizing species protection and conservation efforts in the hotspot. It also explores the challenges and opportunities associated with the adoption of AI in biodiversity hotspot monitoring and conservation; and propose recommendations for future research and policy interventions. The paper adopts a qualitative method in reviewing existing studies of AI applications in species conservation and narrows it down to the Oban biodiversity hotspot. The results show that species in the study area are under serious human and nature-induced threats. Also, though AI possesses one of the most intuitive and environmental-friendly options for species monitoring and protection, its application in the protected hotspot is still at zero level due to limited capacity and awareness. We recommend AI driven capacity building via staff training, as well as provision of place-centered AI-technologies to aid accurate monitoring and avert species extinction in the Oban hotspot. Also, local content development and promotion of indigenous technologies, ideas, policies and programmes should be urgently prioritized.
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